Zobrazeno 1 - 10
of 18
pro vyhledávání: '"G. Milledge"'
Autor:
V. G. Gurzadyan, H. Yan, G. Vlahovic, A. Kashin, P. Killela, Z. Reitman, S. Sargsyan, G. Yegorian, G. Milledge, B. Vlahovic
Publikováno v:
Royal Society Open Science, Vol 2, Iss 8 (2015)
The Kolmogorov–Arnold stochasticity parameter technique is applied for the first time to the study of cancer genome sequencing, to reveal mutations. Using data generated by next-generation sequencing technologies, we have analysed the exome sequenc
Externí odkaz:
https://doaj.org/article/493304301e14404aa9fcdc5795786c01
Publikováno v:
Natural Hazards and Earth System Sciences, Vol 22, Pp 481-508 (2022)
Earthquakes in mountainous areas can trigger thousands of co-seismic landslides, causing significant damage, hampering relief efforts, and rapidly redistributing sediment across the landscape. Efforts to understand the controls on these landslides re
Externí odkaz:
https://doaj.org/article/6e5a7c9d3f314706932fcf34cd396533
Publikováno v:
Earth Surface Processes and Landforms. 47:3163-3179
Akademický článek
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Autor:
David G. Milledge, Alexander L. Densmore, Dino Bellugi, Nick J. Rosser, Jack Watt, Gen Li, Katie J. Oven
Landslides constitute a hazard to life and infrastructure, and their risk is mitigated primarily by reducing exposure. This requires information on landslide hazard at a scale that can enable informed decisions about how to respond to that hazard. Su
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d17b9f6d3d9dd8833abeee2333bfb087
https://www.nat-hazards-earth-syst-sci-discuss.net/nhess-2018-271/
https://www.nat-hazards-earth-syst-sci-discuss.net/nhess-2018-271/
Autor:
A. L. Kashin, Hai Yan, Gordana Vlahovic, G. Milledge, Patrick J. Killela, S. Sargsyan, Vahe Gurzadyan, Zachary J. Reitman, B. Vlahovic, G. Yegorian
Publikováno v:
Royal Society Open Science
Royal Society Open Science, Vol 2, Iss 8 (2015)
Royal Society Open Science, Vol 2, Iss 8 (2015)
The Kolmogorov-Arnold stochasticity parameter technique is applied for the first time to the study of cancer genome sequencing, to reveal mutations. Using data generated by next generation sequencing technologies, we have analyzed the exome sequences
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::06a8d7b31f815dacbf4eadbc880976a2
http://arxiv.org/abs/1506.04080
http://arxiv.org/abs/1506.04080
Publikováno v:
Journal of Biogeography. 33:707-719
Aim To analyse observed and predicted distributional patterns of selected salticid genera in Australia and to examine these distributions in the light of the origins and attributes of the fauna. To detect and compare the locations of regional hotspot